Historical and Modern Features for Buddha Statue Classification
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Abstract (arXiv)
While Buddhism has spread along the Silk Roads, many pieces of art have been displaced. Only a few experts may identify these works, subjectively to their experience. The construction of Buddha statues was taught through the definition of canon rules, but the applications of those rules greatly varies across time and space. Automatic art analysis aims at supporting these challenges. We propose to automatically recover the proportions induced by the construction guidelines, in order to use them and compare between different deep learning features for several classification tasks, in a medium size but rich dataset of Buddha statues, collected with experts of Buddhism art history.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). First posted on arXiv 17 Sep 2019.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 0; 2024: 1.
4 papers.
- 2021GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graphcited by 11
- 2021Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotationcited by 2
- 2021Built Year Prediction from Buddha Face with Heterogeneous Labelscited by 0
- 2024Saliency-Aware Automatic Buddhas Statue Recognitioncited by 0
- 2024Saliency-Aware Automatic Buddhas Statue Recognition26 Feb 2024
- 2021Built Year Prediction from Buddha Face with Heterogeneous Labels2 Sep 2021
- 2021Ukiyo-e Analysis and Creativity with Attribute and Geometry Annotation4 Jun 2021
- 2021GCNBoost: Artwork Classification by Label Propagation through a Knowledge Graph25 May 2021